Home > System Identification > 14th IFAC Symposium on System Identification, 2006 > A single sensor selection theorem for rational state systems
A single sensor selection theorem for rational state systems
System Identification, Volume # 14 | Part# 1
Location: , Australia
National Organizing Committee Chair: Brett Ninness,
Håkan Hjalmarsson
International Program Committee Chair: Iven Mareels
Conference Editor: Brett Ninness,
Håkan Hjalmarsson
Authors
Sette Diop
Identifier
10.3182/20060329-3-AU-2901.00131
Index Terms
observability,identifiability,parameter estimation,nonlinear control systems,algebraic systems theory
Abstract
In this Communication we show that for any dynamics given by a rational state vector equation dx/dt = f(u,x) there always is a scalar linear observation y = α1x1 + α2x2 + ... + αnxn which makes the state x observable provided that the coefficients α1, α2, ... , αn are allowed to be nonconstants. Moreover, any such scalar observation makes the system observable if, and only if, the coefficients are linearly independent over constants in a difierential algebraic sense.
References
[1] Diop, S. (2002). From the geometry to the algebra
of nonlinear observability. In: Contemporary
Trends in Nonlinear Geometric Control Theory
and its Applications (A. Anzaldo-Meneses,
B. Bonnard, J. P. Gauthier and F. Monroy-Perez,
Eds.). World Scientific Publishing
Co., Singapore. pp. 305-345.
[2] Diop, S. and M. Fliess (1991b). On nonlinear
observability. In: Proceedings of the European
Control Conference (C. Commault,
D. Normand-Cyrot, J. M. Dion, L. Dugard,
M. Fliess, A. Titli, G. Cohen, A. Benveniste
and I. D. Landau, Eds.), Hermès. Paris.
pp. 152-157.
[3] Diop, S. and M. Fliess (1991a). Nonlinear observability,
identifiability, and persistent trajectories.
In: Proceedings of the IEEE Conference
on Decision and Control. IEEE Press. New
York. pp. 714-719.
[4] Fliess, M. (1987). Quelques remarques sur les
observateurs non linéaires. In: Proceedings
Colloque GRETSI Traitement du Signal et
des Images. GRETSI. pp. 169-172.
[5] Friedland, B. (1977). On the calibration problem.
IEEE Trans. Automat. Control 22, 899-905.
[6] Glad, S. T. and L. Ljung (1990). Model structure
identifiability and persistence of excitation.
In: Proceedings of the IEEE Conference on
Decision and Control. IEEE Press. New York.
[7] Hermann, R. and A. J. Krener (1977). Nonlinear
controllability and observability. IEEE Trans.
Automat. Control 22, 728-740.
[8] Kaplansky, I. (1976). An Introduction to Differential
Algebra. Second Edition. Hermann. Paris.
[9] Kolchin, E. R. (1973). Differential Algebra and Algebraic
Groups. Academic Press. New York.
[10] Mehra, R. K. (1976). Optimization of measurement
schedules and sensor designs for linear
dynamic systems. IEEE Trans. Automat.
Control 21, 55-64.
[11] Pommaret, J. F. (1986). Géométrie différentielle
algébrique et théorie du contrôle. C. R. Acad.
Sci. Paris Sér. I 302, 547-550.
[12] Ritt, J. F. (1950). Differential Algebra. American
Mathematical Society. Providence.
[13] Seidenberg, A. (1952). Some basic theorems in differential
algebra (characteristic p, arbitrary).
Trans. Amer. Math. Soc. 73, 174-190.
